Because of the widespread clamor for data preservation and storage in the business and corporate worlds, development concerning data management has significantly moved forward. Data has always been the lifeblood of any organization or establishment: strategies, campaigns, and even a company’s decision-making would greatly rely on all the data that can be found in its database. The importance of quality and correct data cannot be more emphasized. Hence, an erroneous information could give rise to bad results and, eventually, financial cutback and squander of resources.

Wrong names, mistake in spelling and inaccuracy of address are examples of the many stumbling blocks that may come along while using a data base. Fortuitously, the improvements made on data transformation and cleaning are very promising. Data base cleaning, also known as data scrubbing, is the most common and effective system or software being used for master data management.

Related Reading: Master Data Management Guide

Data cleaning is a process that enables the system to detect inaccuracies and mistakes in the data storage (e.g. error in spelling and punctuation, mistakes in names, multiple name versions of the same person, etc.), updates the address and other similar contact details, and corrects the faulty items or files to establish consistency.

Data cleaning is the most sought after business application by most companies simply because it provides a wide range of business benefits. It is also considered as the best solution to the problem caused by data organization. Some of the advanced techniques being utilized by the said system are data transformation, data deduplication, and parsing (a method which is employed to identify errors in syntax). Updated and correct information resulting from a cleaning process promotes client satisfaction, enhances correct subscriber-product matching, cuts down the mailing budget since incidence of undelivered, wrongly delivered, and returned mails are reduced; provides lesser search time for data search and recovery; demands cheaper cost compared to human to human intervention of database; and finally, generates more income brought about by enhanced rate of subscriber or customer response courtesy of accurate and correct details.

There are also other beneficial services, aside from data organization and aggregation, which a data transformation process or system can perform. To wit: validation of data, eradication of outdated information, identification of incomplete and omitted figures and facts, disposal of redundant files, classification and linking of similar files or information, elimination of copied and  not genuine proof, and, lastly, improvement of details such as product features, stocks and orders. These services address the common drawbacks which the use of data storage can yield off along the way.

Data cleaning or cleansing can cost a great deal of money and time; therefore, it is essential to maintain the system regularly for optimum and efficient performance. But then again, the benefits considerably outweigh the few disadvantages. And what is a little fortune if it will be invested to guarantee the safety and storage of the business and company’s principal assets? The increasing number of companies which uses data cleaning or cleansing application is a good manifestation of the effectiveness of such creation.

Accurate database is crucial for important decision-making process. If you want to make the right business decisions for your company, ensuring the quality and integrity of your database is of paramount importance. Learn more about data cleaning by visiting WinPure and try a free download and see how an effective partner like WinPure could be one of the best business decisions you make.

By Mike Hughes | March 6th, 2013 | Posted in Data Transformation ,

About Mike Hughes

Mike has over 4 years full time experience blog wand content writing. He enjoys and can write on a wide range of topics all data management related.

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